Abstract:
Machine learning (ML) and deep learning (DL) techniques have been used to study the changes in human physiological and non-physiological properties. DL has proven his eff...Show MoreMetadata
Abstract:
Machine learning (ML) and deep learning (DL) techniques have been used to study the changes in human physiological and non-physiological properties. DL has proven his efficiency when perceiving positive emotions (joy, surprise, pride, emotion) and negative emotions (anger, sadness, fear, disgust). Furthermore, the DL is used to identify the emotions accordingly. First, this paper describes the different DL and ML algorithms applied in the emotion recognition field. Then, as a perspective, it proposes a three-layered emotion recognition architecture that leverages the massive data generated by IoT devices such as mobile phones, smart homes, and health monitoring. Finally, the potential of emerging technologies, such as 5G and 6G communication systems in a parallel Big Data infrastructure, were discussed.
Date of Conference: 26-29 September 2022
Date Added to IEEE Xplore: 18 January 2023
ISBN Information:
ISSN Information:
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Deep Learning ,
- Learning Algorithms ,
- Emotion Recognition ,
- Real-time Emotion Recognition ,
- Machine Learning ,
- Big Data ,
- Machine Learning Techniques ,
- Internet Of Things ,
- Disgust ,
- Deep Learning Techniques ,
- Internet Of Things Devices ,
- Smart Home ,
- Statistical Methods ,
- Convolutional Neural Network ,
- Support Vector Machine ,
- Artificial Neural Network ,
- Emotional States ,
- Short-term Memory ,
- Facial Expressions ,
- Deep Learning Models ,
- Real-time Data ,
- Recognition Methods ,
- Long Short-term Memory ,
- Facial Expression Recognition ,
- Autonomic Nervous System ,
- Face Recognition ,
- Knowledge-based Methods ,
- Communication Layer ,
- Speech Recognition ,
- Physiological Signals
- Author Keywords
Contents Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Deep Learning ,
- Learning Algorithms ,
- Emotion Recognition ,
- Real-time Emotion Recognition ,
- Machine Learning ,
- Big Data ,
- Machine Learning Techniques ,
- Internet Of Things ,
- Disgust ,
- Deep Learning Techniques ,
- Internet Of Things Devices ,
- Smart Home ,
- Statistical Methods ,
- Convolutional Neural Network ,
- Support Vector Machine ,
- Artificial Neural Network ,
- Emotional States ,
- Short-term Memory ,
- Facial Expressions ,
- Deep Learning Models ,
- Real-time Data ,
- Recognition Methods ,
- Long Short-term Memory ,
- Facial Expression Recognition ,
- Autonomic Nervous System ,
- Face Recognition ,
- Knowledge-based Methods ,
- Communication Layer ,
- Speech Recognition ,
- Physiological Signals
- Author Keywords
